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Analysis of 472,688 Severe Cases of COVID-19 in Brazil Showed Lower Mortality in Those Vaccinated against Influenza

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World Journal of Vaccines 2021年第3期11卷 28-32页

作者： daniele Melo Sardinha diana da costa lobato Ana Lú cia da Silva Ferreira Karla Valé ria Batista Lima Ricardo José de Paula Souza e Guimarã es Luana Nepomuceno Gondim costa Lima Post-graduate Program in Epidemiology and Health Surveillance of the Instituto Evandro Chagas (PPGEVS/IEC) Ananindeua Par&#225 Brazil State Coordinator of the Reference Center for Special Immunobiologicals from the Pará State Public Health Department (CRIE/SESPA) Bel&#233 m Par&#225 Brazil Post-Graduation Program in Parasite Biology in the Amazon University of state of Par&#225 Instituto Evandro Chagas (PPGBPA/UEPA/IEC) Bel&#233 m Par&#225 Brazil

Objective: To analyze the severe cases of COVID-19 in Brazil in 2020 and compare those vaccinated and unvaccinated against influenza in invasive ventilation, admission in Intensive Care Unit (ICU) and deaths. Method: Cross-sectional study with public data from the OpendataSUS platform, regarding confirmed severe cases for COVID-19 in Brazil in the year 2020. data were analyzed by SPSS, from the chi-square test of independence and binary logistic regression. Results: The population was 472,688 cases and 177,640 deaths, with a lethality of 37.58% in severe cases. The test of independence was highly significant in vaccinated survivors (<0.0001), and regression showed an almost twofold odds ratio for invasive ventilation, ICU admission, and death in unvaccinated cases. Conclusion: We recommend mass influenza vaccination as an adjuvant in combating the COVID-19 pandemic in Brazil.

关键词： COVID-19 Pandemic Brazil Influenza Vaccine

Analysis of 472,688 Severe Cases of COVID-19 in Brazil Showed Lower Mortality in Those Vaccinated against Influenza

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打造友善合作空间:中国和巴西基于多学科领域的全球健康合作

World Journal of Vaccines（疫苗） 2021年第3期

作者： daniele Melo Sardinha diana da costa lobato Ana Lúcia da Silva Ferreira Karla Valéria Batista Lima Ricardo José de Paula Souza e Guimarães Luana Nepomuceno Gondim costa Lima

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Science Bulletin 2023年第20期68卷 2293-2294页

作者： Andre costa lobato Carlos Medicis Morel George Fu Gao Institute of Economics Federal University of Rio de JaneiroRio de Janeiro 22290-902Brazil Center for Technology Development in Health Oswaldo Cruz FoundationRio de Janeiro 21040-361Brazil Federal University of Rio de Janeiro Rio de Janeiro 22290-902Brazil CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China University of the Chinese Academy of Sciences Beijing 100049China

Brazilian president Luiz Inacio Lula da Silva’s visit to China in April 2023 was an opportunity to elevate health cooperation between the two countries to scientific and technological cooperation standards,exemplified by the China-Brazil Earth Resources Satellite(CBERS).The satellite programme can be traced back to the Basic Agreement on Scientific and Technological Cooperation signed by the two nations in 1982(https://***/ccivil03/decreto/1990-1994/***).This framework serves as a reference for health cooperation between Chinese science and health institutions and the Oswaldo Cruz Foundation(Fiocruz),the Brazilian Minister of Health’s core industrial and research facility.

关键词： cooperation Basic Brazil

Support Vector Machine and Artificial Neural Networks for Hydrological Cycles Classifications of a Water Reservoir in the Amazon

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通讯和计算机（中英文版） 2014年第2期11卷 111-117页

作者： Jean Carlos Arouche Freire Tarcisio da costa lobato Jefferson Magalhaes de Morais Terezinha Ferreira de Oliveira Rachel Anne Hauser-davis Augusto Cesar Fonseca Saraiva Faculty of Computing Federal University of Pard City Belem 66. 075-110 Brazil Faculty of Mathematics and Statistics Federal University of Para Belem 66. 075-110 Brazil Departament of Chemmistry Pontifical Catholic University of Rio de Janeiro Rio de Janeiro 22451-900 Brazil Technology Center Eletrobras-Eletronorte Belem 66115-000 Brazil

This paper presents a methodology based on computational intelligence techniques for classification of hydrological cycles that can infer the change in the physico-chemical parameters and metals from the water of a reservoir in the Amazon. The methodology initially consists in perform a pre-processing the data to select the most relevant variables of the samples. After that, we compared two different machine learning classifiers, namely SVM (support vector machine) and ANN (artificial neural network). The automatic model selection is made to choose the parameters of the classifiers. The results indicate that the support vector machine classifier using radial basis function or polynomial kernel exhibited superior results to ANN in terms of overall accuracy and robustness. The SVM classifier accuracy (89.1%) can be considered satisfactory, since there is a great variability of physico-chemical parameters and metals in the hydrological cycles and in the different ecosystems where are the sampling station.

关键词：支持向量机分类器人工神经网络水文循环分类方法亚马逊水库物理化学参数计算智能技术

Selection of Strains Producing Lipase with Transesterification Activity and Its Characterization

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Journal of Chemistry and Chemical Engineering 2016年第2期10卷 68-76页

作者： Gabriel Luls Castighoni Jorge Alberto Vieira costa Giovana da Silva Padilha Ranulfo Monte-Alegre Department of Food Engineering School of Agronomy Federal University of Goi6s Rodovia Goifnia/Nova Veneza Km O Goiania GO 74690-900 Brazil Department of Chemical Engineering Federal University of Rio Grande Rua Engenheiro Alfredo Huch Rio Grande 96201-900 Brazil Department of Food Engineering University of the State of Campinas Rua Monteiro Lobato 80 Campinas 13083-862 Brazil

The interest for lipase production is due to the ability of this enzyme to catalyze some reactions, such as the transesterification. Although industrial biodiesel is produced chemically, there are several problems associated with this technology that can be prevented through the use of lipases. The present work aimed to select microorganisms with potential for production of lipase with transesterification activity. The lipase from Burkholderia cepacia was the one with the most promising results for this type of reaction, showing results of hydrolytic activity at 37 °C and pH 8.0. The pH and volume of crude enzyme extract that showed favorable for synthesis of biodiesel is at about pH 6.0 and 3.75 mL, respectively, which represents approximately 42% of water in the system, ensuring the conversion of nearly 60% to biodiesel.

关键词：脂肪酶产生菌水解活性酯交换生物化学反应洋葱伯克霍尔德菌表征筛选生物柴油

Resolutive Results with Oral Corticosteroids for Patients with COVID-19 in Pulmonary Inflammatory Phase. Successful Outpatient Experience during the Collapse of Belem Do Para Health System—Brazil

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Health 2021年第8期13卷 830-838页

作者： Roberto S. Zeballos Luciana N. L. Cruz Vânia C. R. Brilhante Adriana V. Lima Carlliane L. L. P. Martins Karla N. A. Lima Michele C. G. L. Leão Belinete L. Cruz Alessandra B. Dysarz Paulo C. B. lobato Erika S. Almeida Rute A. P. costa Klevison C. Araújo Augusto C. C. Almeida Leônidas B. D. Junior Kathia O. Harada Rita H. V. S. Araújo Elaine X. Prestes Ivete M. S. Souza Avany M. P. Pereira Antônio B. M. A. Rocha Iracema A. Estevão Fagnei I. C. Carvalho Paulo M. P. Melo Clinical Care Sao Paulo Brazil Instituto de Ciencias da Saude Faculdade de Medicina Universidade Federal do Para Belem Brazil Fundacao Publica Estadual Hospital de Clinicas Gaspar Vianna Belem Brazil Hospital da Policia Militar do Para Belem Brazil Imunoclinic Belem Brazil Universidade Estadual do Para Fundacao Santa Casa de Misericordia do Para Belem Brazil Clinica Barros Cirurgia Plastica Belem Brazil Secretaria de Estado de Saude Publica Castanhal Brazil Centro de Tratamento Oncologico Belem Brazil Sociedade Brasileira de Valorizaç ã o das Sociedades Medicas—SOBEMED S&#227 o Paulo Brazil Clinica de Nutrologia Sao Luiz Brazil Hospital Nipo Brasileiro de Olhos Belem Brazil Centro de Ciencias Biologicas e da Saude Universidade do Estado do Para Belem Brazil Hospital Regional do Baixo Amazonas Santarem Brazil Clinica Vallinoto Secretaria de Saude de Barcarena Barcarena Brazil Estrategia Saude da Familia Secretaria Municipal de Saude de Ananindeua Centro Universitario do Estado do Para Belem Brazil A. M. P. Endocrinologia Belem Brazil Instituto Avertano Rocha Belem Brazil Departamento de Neurocirurgia Hospital Militar de Area De Sao Paulo Sao Paulo Brazil

In the face of new diseases, medicine needs to reinvent itself in order to contain and control epidemics, such as the one we have recently faced, COVID-19, a disease with a wide spectrum of clinical severity. A new moment has been established, since the application of well-known, effective and safe medications for other diseases, has shown high success rates in the treatment of COVID-19. Thereunto, studies with early intervention are needed, which can change the unfavorable outcome of patients. In this article, we report the successful experience using an oral strategy during the collapse of Belem (Para, Brazil) Health System. Two hundred and ten patients were diagnosed with respiratory failure due to COVID-19, with no option of hospital treatment due to lack of beds and resources. These patients were then started on therapeutic regimen consisting of 40 mg prednisolone, 40 mg enoxaparin and macrolides (500 mg clarithromycin, 500 mg axetylcefuroxime) associated and followed in outpatient facilities. Two hundred and eight patients had an excellent therapeutic response and there were only two fatalities. These results push research boundaries, valuing outpatient treatment with early use of prednisolone in the initial pulmonary phase, preventing severe COVID-19 pneumonitis. Adoption of the proposed treatment intends to reduce the need for hospitalization, as well as lethality, with social robust benefits and incalculable economic savings since involves the use of accessible, safe and not expensive medications.

关键词： COVID-19 Corticosteroids Pulmonary Inflammatory Phase Collapse Brazil